基于卫星参数预测的星载SAR图像定位方法研究
doi: 10.3724/SP.J.1146.2005.01645
The Study of Satellite SAR Imagery Geo-referencing Based on Satellite Parameters Prediction
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摘要: 该文提出了一种基于卫星参数预测的无(少)地面控制点的星载SAR图像的定位方法。该方法利用待校正影像相邻景的成像参数，同时建立预测模型，内插或外推待校正SAR图像的成像参数，从而通过SAR共线方程模型实现无(少)地面控制点的星载SAR图像的定位。文中利用RADARSAT影像进行实验，取得了6～7个像元校正精度。Abstract: In this paper a new method is proposed to solve the geo-referencing problem of satellite SAR imagery without GCPs by considering the consecutive imaging parameters. That is, the imaging parameters of consecutive imagery are calculated based on GCPs in order to set up the prediction formula, and then the imaging parameters of satellite SAR imagery can be forecasted. Thus the radar collinearity equation model is introduced to precisely locate imagery. RADARSAT imagery is used to test and geo-referencing accuracy reaches 6-7 pixels.
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